基于混杂模型预测控制的顺序实时决策混合动力能量管理策略研究

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中图分类号：U674.925DOI：10.3969/j.issn.1004-132X.2025.06.026 开放科学（资源服务）标识码（OSID）：

Research on Hybrid Power Energy Management Strategy Based on Sequential Real-time Decision Making with Hybrid Model Predictive Control

SUN Xiaojun1* LIU Conghao1 ZHANG Qiao1SONG Enzhe²

1.School of Automobile and Traffic Engineering，Liaoning University of Technology，Jinzhou， Liaoning，l21001

2.College of Power and Energy Engineering，Harbin Engineering University，Harbin，150001

Abstract：An optimization strategy and evaluation framework for power distribution in marine hybrid propulsion systems was developed. Experimental data and component characteristics were analyzed，and system identification and clustering algorithms were employed to integrate continuous and discrete variables effectively. A state-space equation was formulated to represent the hybrid characteristics of the propulsion systems.A trade-of performance index function was defined to balance fuel consumption reduction and power performance enhancement. Based on a mixed logical dynamic model，a hybrid model predictive controler（HMPC）was designed to optimize the collaborative operations of natural gas engines， permanent magnet synchronous motors and clutches. Finally，the proposed HMPC was tested in real machine in terms of energy saving and power improvement using test conditions. The results show that the fuel-optimal HMPC saves 2.72% fuel and the power-optimal HMPC improves power performance by 59.72% compared to the HMPC that combines economy and power.

Key words： hybrid power model; energy management； marine hybrid power; system identification；hybrid system

0 引言

在船舶行业能效法规日益严格与节能环保呼声不断增强的国际背景下，船用动力新型化、绿色化已成为一种发展趋势和研究热点。（剩余18748字）